项目介绍

2024年5月8日

Your function

Are you a computer scientist with a strong background in Linked Data and/or knowledge graphs and keen to contribute to research infrastructure across the field of Social Sciences and Humanities (SSH)? Would you like to be a member of a national team of leading researchers within those domains? Would you like to work on increasing interoperability between those domains by implementing FAIR methods that facilitate SSH data, tools and software to be shared, linked and combined?

Then you could be the ideal Postdoc candidate to join our team! Please apply at Vrije Universiteit Amsterdam.

Job description

The User-Centric Data Science group (UCDS) has an open position for a postdoctoral (PD) researcher in the field of FAIR Linked Data for the Social Sciences and Humanities (SSH). You will become a member of the team of SSHOC-NL, a new 5-year national interdisciplinary research project. SSHOC-NL is a consortium of research infrastructures aimed at creating an ecosystem of services, data and tools for the social sciences and humanities. Together with Dr. Ronald Siebes and Prof. Dr. Jacco van Ossenbruggen you will research methods and develop tools and infrastructure to make research data, workflows and tools findable, accessible, interoperable and reusable (FAIR). More specifically, you will work on topics such as infrastructure of interoperable vocabularies for SSH research data, entity linking across datasets, interoperability in dataset annotation and transparent dataset search. An important part of the position is co-design of research and co-creation of knowledge with a wide variety of societal and research partners from various disciplines. An inter- or multidisciplinary background and good communication skills are therefore important assets.

Your duties

• publish research results in international peer-reviewed conferences and journals
• designing and implementing FAIR methods and tools for FAIR research infrastructures in the SSH domain
• opportunities to teach or assist in Bachelor and/or Master’s educational programmes and supervise Bachelor and Master students
• contribute to project tasks, milestones and deliverables, and contribute to project management, meetings and activities (e.g., workshop organisation)

Your profile

• a PhD in computer science, artificial intelligence or a related discipline
• proven affiliation with research social sciences and humanities
• proven affiliation with knowledge graph and Linked Data technology
• proficiency in programming
• good communication skills in English
• management skills are an asset

As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed to creating an inclusive community so that we can use diversity as an asset.

We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.